Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The state of the art in locally distributed Web-server systems
ACM Computing Surveys (CSUR)
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
Energy conservation in heterogeneous server clusters
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Control of large scale computing systems
ACM SIGBED Review
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Resilient workload manager: taming bursty workload of scaling internet applications
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Optimal power allocation in server farms
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Generalized Tardiness Quantile Metric: Distributed DVS for Soft Real-Time Web Clusters
ECRTS '09 Proceedings of the 2009 21st Euromicro Conference on Real-Time Systems
Toward a Science of Power Management
Computer
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Power management of online data-intensive services
Proceedings of the 38th annual international symposium on Computer architecture
Optimized Management of Power and Performance for Virtualized Heterogeneous Server Clusters
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
| Hi-index | 0.89 |
The growth in the demand for web services requires increasing processing capacity to maintain adequate response time to customer requests and, consequently, results in an increase in the energy consumption to support this infrastructure. This work is directed to the energy saving in large scale web server clusters, towards ''green'' data center construction. Energy consumption reduction is fundamental due to the economic and environmental aspects involved: energy generation has high costs and produces millions of tons of carbon. However, while saving energy, the quality of service offered to the customers should be maintained above an acceptable minimum level. Our solution involves optimization techniques, the use of Dynamic Voltage and Frequency Scaling technology (DVFS), and the application of a hierarchical architecture that uses a heuristic approach to define the cluster configuration at each instant.